A system and method for determining cardiovascular parameters can include: receiving a plethymogram (PG) dataset, removing noise from the PG dataset, segmenting the PG dataset, extracting a set of fiducials from the PG dataset, and transforming the set of fiducials to determine the cardiovascular parameters.

The present disclosure relates to a device, method and system (100) for calculating, estimating, or monitoring the physiological parameters of a subject. At least one processor, when executing instructions, may perform one or more of the following operations: receiving a first signal representing a pulse wave relating to heart activity of a subject, receiving a plurality of second signals representing time-varying information on the pulse wave, determining a blood oxygen level of the subject based on the plurality of second signals, identifying a first feature in the first signal, identifying a second feature in one of the plurality of second signals, computing a pulse transit time based on a difference between the first feature and the second feature, calculating a blood pressure of the subject based on the pulse transit time.

The present invention provides a method for assessing at least one parameter related to the microcirculation function of a person, said method comprising the steps of a) determining an arrival time (AT) of a pulse wave, wherein the AT is the time between the onset of an activity of the heart that produces said pulse wave and the arrival of said pulse wave in a part of the body of said person; b) varying an applied pressure (P) on said part of the body over time and determining said AT as a function of applied pressure and time; and c) assessing said at least one parameter related to the microcirculation function based on said determination of AT and said AT as a function of applied pressure and time in steps a) and b). The present invention further provides a system for assessing at least one parameter related to the microcirculation function of a person.

An apparatus for measuring bio-information may include a pulse wave sensor that may measure a pulse wave signal from an object in contact with a measurement surface. The apparatus may include a force sensor that may measure a contact force between the pulse wave sensor and the object. The apparatus may include a fastener configured to fasten the pulse wave sensor to an electronic device such that the pulse wave sensor is rotatable around a center axis in a length direction of the pulse wave sensor. The apparatus may include a processor that may determine a direction in which a measurement region of the pulse wave signal or the measurement surface of the pulse wave sensor is oriented, select a measurement mode from among a plurality of measurement modes, and estimate bio-information of the object.

A measurement system and method of manufacture can include: a pressure resistant structure; a pressure inducer coupled to the pressure resistant structure, the pressure inducer having an engaged configuration, the engaged configuration of the pressure inducer increasing pressure exerted on a portion of a user in contact with the pressure resistant structure; a light source coupled to the pressure resistant structure; an optical sensor coupled to the pressure resistant structure and configured to detect a signal from the light source; a pressure sensor coupled to the pressure resistant structure, the pressure sensor configured to detect the pressure exerted on the portion of the user in contact with the pressure inducer; and a processor coupled to the optical sensor and the pressure sensor, the processor configured to correlate volumetric data from the optical sensor with pressure data from the pressure sensor and to provide a blood pressure measurement.

A wearable device for measuring a cardiovascular system of a user includes an attachment component, a blood pressure measurement module, and a sensor configured to detect an existence of a limb part of the user. The attachment component is for attaching the wearable device to the limb part of the user and includes a connecting mechanism. A condition of the connecting mechanism can be used to determine whether the attachment component is in a connected configuration or in a disconnected configuration. The blood pressure measurement module has an expander, an actuator, and a blood pressure measurement sensor. The expander can be disposed on the limb part and can contact against the user. The expander can be controlled by the actuator to be inflated, by which the blood pressure measurement sensor can measure blood pressure in the cardiovascular system of the user.

The disclosure relates to digital twin of cardiovascular system called as cardiovascular model to generate synthetic Photoplethysmogram (PPG) signal pertaining to disease conditions. The conventional methods are stochastic model capable of generating statistically equivalent PPG signals by utilizing shape parameterization and a nonstationary model of PPG signal time evolution. But these technique generates only patient specific PPG signatures and do not correlate with pathophysiological changes. Further, these techniques like most synthetic data generation techniques lack interpretability. The cardiovascular model of the present disclosure is configured to generate the plurality of synthetic PPG signals corresponding to the plurality of disease conditions. The plurality of synthetic PPG signals can be used to tune Machine Learning algorithms. Further, the plurality of synthetic PPG signals can be utilized to understand, analyze and classify cardiovascular disease progression.

A device, method and system for calculating, estimating, or monitoring the blood pressure of a subject. A first signal representing heart activity of a subject may be received. A plurality of second signals representing time-varying information on at least one pulse wave of the subject may be received from a plurality of body locations of the subject. A first feature of the first signal may be identified. For each of the plurality of second signals, a second feature may be identified. A pulse transit time based on a difference of the first feature and at least one of the second features may be computed. A blood pressure of the subject may be calculated according to a model based on the computed pulse transit time. The model may include a compensation term relating to the plurality of second signals or the second features thereof.

A wearable device includes a case and a detection module. The case includes an inner casing and an outer casing. The inner casing includes a main body and a lateral wall. The main body is an annular structure. The lateral wall is disposed on a lateral side of the main body. The main body has a first installation area, a second installation area and a third installation area. The outer casing is disposed around the inner casing and abuts against the lateral wall, and the outer casing has a first opening. The detection module is disposed inside the case. The detection module includes an energy storage unit, an information transmission unit and an optical identification assembly. The energy storage unit is located on the first installation area. The information transmission unit is located on the second installation area. The optical identification assembly is located on the third installation area.

The present disclosure generally relate s to blood pressure monitoring. In some embodiments, methods and devices for measuring a mean arterial pressure and/or for monitoring blood pressure changes of a user are provided. Blood pressure measured by one or more pressure sensors may be adjusted using one or more correction factors. The use of the one or more correction factors disclosed herein may allow for more compact, convenient, and/or accurate wearable blood pressure measurement devices and methods. In particular, wrist-worn devices may be provided which are less bulky than current devices and may facilitate more frequent and accurate blood pressure monitoring.